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London Circuit

Tower A, Canberra City West, Canberra, Austl. Cap. Terr., Australia, 2601

7 London Circuit, Canberra is in the heart of Australia's capital city. Located on the fifth floor of a premium office building, the centre is a short distance from Australia's Parliament House and several of Canberra's landmark buildings including the Reserve Bank, Canberra Law Courts and the Rydges Canberra. Canberra's main industries include IT, service industries, government administration and defence. Canberra benefits from having one of the lowest unemployment rates in Australia with the economy continuing to grow. The centre is just a 10-minute drive from Canberra Airport and is well placed for local amenities such as shops, restaurants and hotels. The building is named after the hexagonal-shaped London Circuit road which surrounds the city centre.

Explore Our Courses

Explainability in Deep Learning: Demystifying Black-Box Models

 21 Hours

This instructor-led, live training in Canberra (online or onsite) is aimed at advanced-level professionals who wish to explore state-of-the-art XAI techniques for deep learning models, with a focus on building interpretable AI systems.

By the end of this training, participants will be able to:

  • Understand the challenges of explainability in deep learning.
  • Implement advanced XAI techniques for neural networks.
  • Interpret decisions made by deep learning models.
  • Evaluate the trade-offs between performance and transparency.
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Applied AI from Scratch in Python

 28 Hours
This hands-on training in Canberra guides programmers through building AI models from scratch using Python. Participants will gain proficiency in supervised learning, neural networks, and unsupervised techniques, leveraging scikit-learn and Apache Spark. The course emphasises practical Jupyter exercises aimed at solving real-world problems.
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Deep Reinforcement Learning with Python

 21 Hours
This instructor-led training in Canberra covers the theoretical foundations and practical implementation of Deep Reinforcement Learning using Python. Participants will build and train DRL agents with TensorFlow or PyTorch, applying key algorithms like DQN and PPO to solve complex real-world problems.
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Artificial Intelligence (AI) Overview

 7 Hours
An introductory course in Canberra that explores the fundamentals of AI, ranging from intelligent agents to machine learning. It empowers executives and architects to assess emerging AI trends, integrate practical solutions, and drive business agility through automated strategies.
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Artificial Intelligence (AI) in Automotive

 14 Hours
Discover how Machine Learning and Deep Learning are reshaping the automotive sector. This Canberra course explores fundamental concepts, spanning from basic automation to autonomous decision-making, including neural networks and practical TensorFlow examples for real-world implementation.
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Artificial Neural Networks, Machine Learning, Deep Thinking

 21 Hours
This three-day programme in Canberra delves into both the theoretical underpinnings and practical applications of Artificial Neural Networks, Machine Learning, and Deep Learning. Participants will examine network architectures, learning mechanisms, and mathematical foundations, progressing from basic perceptrons to sophisticated deep learning methodologies.
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Pattern Recognition

 21 Hours

This instructor-led, live training in Canberra (online or onsite) provides an introduction into the field of pattern recognition and machine learning. It touches on practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.

By the end of this training, participants will be able to:

  • Apply core statistical methods to pattern recognition.
  • Use key models like neural networks and kernel methods for data analysis.
  • Implement advanced techniques for complex problem-solving.
  • Improve prediction accuracy by combining different models.
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Understanding Deep Neural Networks

 35 Hours
This 35-hour course in Canberra covers deep neural network fundamentals, including CNNs, RNNs, and generative models like GANs. Participants gain hands-on experience with Theano and TensorFlow, learning to build, train, and deploy production-grade deep learning models for real-world applications.
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Testimonials (3)

Getting people that never used AI some repetition in prompting and people that do use AI to consider different methods to using it.

Matthew Gay - Tarsus Pharmaceuticals

Course - Artificial Intelligence (AI) Overview

Working from first principles in a focused way, and moving to applying case studies within the same day

Maggie Webb - Department of Jobs, Regions, and Precincts

Course - Artificial Neural Networks, Machine Learning, Deep Thinking

That it was applying real company data. Trainer had a very good approach by making trainees participate and compete

Jimena Esquivel - Zaklad Uslugowy Hakoman Andrzej Cybulski

Course - Applied AI from Scratch in Python

Provisional Upcoming Courses (Require 5+ participants)

Understanding Deep Neural Networks

2026-10-20 09:30
35 hours
London Circuit
11750 AUD (Online)
28250 AUD (Classroom)

Pattern Recognition

2026-11-03 09:30
21 hours
London Circuit
10500 AUD (Online)
20400 AUD (Classroom)

Applied AI from Scratch in Python

2026-11-17 09:30
28 hours
London Circuit
9400 AUD (Online)
22600 AUD (Classroom)

Understanding Deep Neural Networks

2026-12-01 09:30
35 hours
London Circuit
11750 AUD (Online)
28250 AUD (Classroom)

Pattern Recognition

2026-12-15 09:30
21 hours
London Circuit
10500 AUD (Online)
20400 AUD (Classroom)

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Neural Networks Consulting
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